Update README.md

README.md

@@ -49,13 +49,13 @@ Custom stopping strings are employed to enhance output quality:
 Specialized in Viking dialect and narratives, TinyViking is less effective outside its thematic focus.
 
 ### Compute Infrastructure
-Trained on an RTX 6000 Ada GPU, demonstrating the feasibility of specialized model training within resource-constrained environments.
+Trained on an RTX 6000 Ada Lovelace GPU
 
 ### Results
 Successfully generates Viking-themed responses, maintaining thematic consistency while displaying improved coherence and depth over previous models due to advancements in dataset generation and parsing.
 
 ### Summary
-TinyViking-1.1B-v0.1 shows an improvement in quality compared to earlier models, thanks to a new dataset generation method that helps to conserve the base model's already tenuous ability to hold a conversation. While it excels in Viking-themed interactions, its specialized focus limits broader application.
+TinyViking-1.1B-v0.1 shows an improvement in quality compared to earlier thematic models, thanks to a new dataset generation method that helps to conserve the base model's already tenuous ability to hold a conversation. While it excels in Viking-themed interactions, its specialized focus limits broader application.
 
 ### Acknowledgments
 Gratitude to the TinyLlama team, whose foundational work was, as always, essential for developing TinyViking.